کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4496258 1623866 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Partner choice promotes cooperation: The two faces of testing with agent-based models
ترجمه فارسی عنوان
انتخاب شریک، همکاری را افزایش می دهد: دو چهره تست با مدل های مبتنی بر عامل
کلمات کلیدی
روابط اجتماعی، مکانیسم های نزدیکی سیر تکاملی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


• We developed an agent based model of cooperation based on partner choice.
• Our model reproduced important features of cooperation in group living animals.
• Partner choice based on benefits received can sustain the evolution of cooperation.

Reciprocity is one of the most debated among the mechanisms that have been proposed to explain the evolution of cooperation. While a distinction can be made between two general processes that can underlie reciprocation (within-pair temporal relations between cooperative events, and partner choice based on benefits received), theoretical modelling has concentrated on the former, while the latter has been often neglected. We developed a set of agent-based models in which agents adopted a strategy of obligate cooperation and partner choice based on benefits received. Our models tested the ability of partner choice both to reproduce significant emergent features of cooperation in group living animals and to promote the evolution of cooperation. Populations formed by agents adopting a strategy of obligate cooperation and partner choice based on benefits received showed differentiated “social relationships” and a positive correlation between cooperation given and received, two common phenomena in animal cooperation. When selection across multiple generations was added to the model, agents adopting a strategy of partner choice based on benefits received outperformed selfish agents that did not cooperate. Our results suggest partner choice is a significant aspect of cooperation and provides a possible mechanism for its evolution.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 344, 7 March 2014, Pages 49–55
نویسندگان
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